Lead Data Analyst

H&M; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

25% staff discount on all H&M Group in

HIP – Incentive Program

Wellness benefit 4000kr/year

Pension and life insurance via a union

Job summary

H&M Group is seeking a Lead Data Analyst focused on Analytics Engineering to raise the analytical and technical maturity of our Data Analysts by establishing standards and providing hands-on guidance. You will lead adoption of Analytics Engineering across the organization, helping teams model, govern, and consume data with scalable, maintainable data products.

You will drive cross-functional initiatives, balance strategy with execution, and nurture a culture of knowledge sharing and continuous

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• Strong SQL and data modeling principles.
• Experience with analytics engineering and data products.

Responsibilities

• Lead complex analytical initiatives end-to-end, from problem framing and data exploration to modeling and actionable insights.
• Translate strategic questions into analytical approaches, scalable data models and insights.
• Develop reusable data assets, templates, and frameworks to enable scalability.
• Champion Analytics Engineering practices and maintainability of data products.
• Own and drive the Analytics Engineering community and standards.
• Design and deliver training sessions, workshops, and documentation.
• Identify opportunities to improve data literacy and analytics capabilities.
• Mentor colleagues and promote knowledge sharing.

Skills

SQL

Data Modeling

Data Warehousing

Python

R

Stakeholder Management

Communication

Analytics Engineering

Git

CI/CD

dbt

Power Query

Education

Bachelor's degree in Statistics, Engineering, Computer Science, or a related field

Tools

dbt

Power Query

Git

Python

R

Job description

As a Lead Data Analyst focused on Analytics engineering, you will play a key role in raising the analytical and technical maturity of our Data Analysts by establishing standards, providing hands‑on guidance and enabling analysts to build robust and scalable data products.

You will lead the development and adoption of Analytics Engineering practices across the organization, helping teams improve how data is modeled, governed, and consumed. Through upskilling, knowledge sharing, and creation of reusable frameworks and assets, you will strengthen our analytics capabilities and help establish a more consistent way of working with data.

The role requires a high degree of autonomy, initiative taking, and collaboration. You will proactively identify opportunities to improve data practices, drive cross‑functional initiatives, and build alignment across diverse stakeholder groups. Success in this role depends on your ability to balance strategic priorities with execution, navigate a complex organization and data landscape, and help teams deliver analytical solutions that are scalable, maintainable and aligned with business needs.

WHAT YOU'LL DO

• Lead complex analytical initiatives end-to-end, from problem framing and data exploration to data modeling, analysis and actionable recommendations.
• Partner with cross-functional teams and stakeholders to translate strategic questions and business needs into analytical approaches, scalable data models, and actionable insights.
• Lead the development of reusable data assets, templates, and frameworks that streamline work and promote scalability.
• Champion best practices in Analytics Engineering through the data analytics community, including data modeling, testing, documentation and maintainability of analytical data products, ensuring the support both traditional analytics and emerging AI driven use cases.
• Own and drive the Analytics Engineering community for Data Analysts, establishing standards and fostering collaboration across the organization.
• Design and deliver training sessions, workshops, and documentation to upskill colleagues in tools, methodologies, and data interpretation.
• Proactively identify and act on opportunities to improve data literacy and analytical capabilities across the organization.
• Mentor colleagues and contribute to a culture of knowledge sharing and continuous improvement.

WHO YOU ARE

We are looking for people with…

• Proven experience leading complex analytical initiatives and influencing analytical direction across teams or domains.
• Strong business understanding and ability to translate complex or ambiguous business needs into clear analytical questions, approaches, and recommendations.
• Experience driving standards, best practices, and ways of working across teams through influence, coaching, and collaboration.
• Proven experience mentoring and developing colleagues through coaching, training, and knowledge sharing.
• Strong communication and stakeholder management skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.
• High proficiency in SQL and strong understanding of data modeling principles.
• Experience developing and maintaining analytical data products using tools such as dbt, Power Query, or similar.
• Strong understanding of data warehousing concepts and modern analytics architectures.
• Experience with version control (Git) and CI/CD practices within analytics workflows.
• Experience using Python, R, or similar technologies to support analytical workflows and automation.
• Bachelor's degree in Statistics, Engineering, Computer Science, or a related field.

WHO WE ARE

H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.

WHY YOU'LL LOVE WORKING HERE

At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe.

We offer all our employee's attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here .

• 30 days holiday
• We offer a collective agreement which includes pension and life insurance
• H&M Incentive Program
• Wellness benefit 4000kr/year
• Benifex Benefits Portal
• Community with activities

JOIN US

Our uniqueness comes from a combination of many things, our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it's our people who make us who we are.

Take the next step in your career together with us. The journey starts here.

*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.*